code: def conv3x3(in_planes, out_planes, stride=1):
      """conv3x3.
      :param in_planes: int, number of channels in the input sequence.
      :param out_planes: int,  number of channels produced by the convolution.
      :param stride: int, size of the convolving kernel.
      """
      return nn.Conv2d(
          in_planes,
          out_planes,
          kernel_size=3,
          stride=stride,
          padding=1,
          bias=False,
      )
  
file_path: audio/examples/avsr/models/resnet.py
imports: import torch.nn
label_desc: Use image node_id 1 for calling a global function with example usage: conv3x3(in_planes, out_planes, stride) and returns: nn